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Lead Architect & SW Portfolio Manager @ ZF | Distributed Systems • Cloud / AI Architecture | Azure • Lean Portfolio Governance • SLO/Observability | M.B.A • PMP
Lead Architect & SW Manager with 11+ years of experience building enterprise platforms, distributed systems, cloud‑first and AI‑enabled architectures, and SLO‑driven ecosystems under lean portfolio governance. I’ve led system architecture for 100+ engineers, achieving 99.95% availability, accelerating acceptance throughput by 25–40%, and increasing reuse by 30–45%. My focus is aligning product, R&D, and customers around contract‑first, observable, and scalable systems that deliver predictable reliability and sustainable innovation. What this looks like in practice, 📚 Built a single source of truth for portfolio and reuse (taxonomy, stage‑gates, value scoring) that cut duplicate work 25-35% and increased component reuse 30-45% across teams. 🛡️ Implemented observability + SLOs with zero‑downtime release patterns, reaching 99.95% service availability while reducing MTTR. 🧭 As acceptance lead for an L4 autonomous shuttle, stabilized interfaces and modeled scenarios to reduce acceptance lead time 25-40% and late‑stage change churn ~30%. 🧪 Scaled simulation and nightly SIL/HIL (CARLA, dSPACE, ROS2), shifting 30-50% of defects left and automating 200+ simulation hours/day to validate before fielding. 🤝 Aligned 100+ engineers through contract‑first APIs, versioning, and CoP guardrails - raising on-time delivery to 85-95% and cutting audit findings ~40%. 🔎 FOCUS AREAS • Portfolio/Program Leadership: value scoring, stage‑gates, OKRs, RFC/design reviews, bridging customers, product, and R&D • Cloud & Distributed Systems: Software and Systems Design, Azure, Kubernetes, microservices, API contracts • AI/ML & Data Platforms: platform patterns, MLOps, observability, versioning • Safety & Compliance: ASPICE, ISO 26262, Simulation @ scale (SIL/HIL) 🎓 Certifications
Kempten Business School
Master of Business Administration - MBA, Internation Business Management & Leadership
N/A – Present
Graduate School of Business - University of Cape Town
Executive MBA
N/A – Present
Technische Hochschule Ingolstadt
Master of Science - MS, International Automotive Engineering
N/A – Present
Coimbatore Institute of Technology
Bachelor of Engineering - BE, Mechanical Engineering
N/A – Present
ZF Group
Lead Architect/Software Portfolio Manager - Data Analytics/AI/Portfolio Management
March 1, 2024 – Present
ZF Group
Staff Engineer/Technical Program Manager - L4 System Development - Autonomous Mobility Systems
March 1, 2023 – February 1, 2024
ZF Group
Lead Architect - Software & System - Autonomous Mobility Systems
May 1, 2020 – February 1, 2023
ZF Group
Algorithm & Machine Learning Engineer
May 1, 2018 – April 1, 2020
ZENUITY
Machine Learning & Sensor Fusion Engineer - AD Perception
March 1, 2017 – April 1, 2018
TAMA Systemtechnik GmbH
Continuous Integration - Audi Extern
November 1, 2016 – February 1, 2017
TAMA Systemtechnik GmbH, Ingolstadt, Germany
Center of Automotive Research on Integrated Safety Systems and Measurement Area, TH Ingolstadt
Autonomous Driving (Computer Vision / Machine Learning) Researcher
June 1, 2016 – November 1, 2017
Ingolstadt, Bavaria, Germany
Larsen & Toubro
Senior Design (Computational) Engineer
June 1, 2014 – March 1, 2016
Chennai Area, India
Coimbatore Institute of Technology
Research Assistant
January 1, 2012 – January 1, 2014
Greater Coimbatore Area
Distributed Multi-Agent Orchestration System
February 1, 2026 – April 1, 2026
Built a distributed, real-time multi-agent simulation system where autonomous vehicle agents operate independently in a shared environment at 20 Hz. Designed a containerized architecture using Docker and Kubernetes with NATS-based event-driven communication. Integrated a PySpark analytics pipeline for real-time telemetry processing and ML-ready dataset generation, simulating patterns seen in large-scale systems like cloud orchestration and autonomous fleets. guthub URL: https://github.com/elam-byte/auto-traffic-orchestrator-k8n
Simualtion und Software Entwicklung für Einrad- und Zweirad- Fahrzeug
October 1, 2016 – January 1, 2017
Steueralgorithmus Entwicklung Die Validierung des Systems durch Simualtion in Matlab/Simulink
Detaillierte Konvektion Analyse von Automobil Scheinwerfer
March 1, 2016 – July 1, 2016
Computational Fluiddynamik simulation in Solidworks
Computational analysis of heat transfer by fluid flow in heat Exchanger
July 1, 2013 – March 1, 2014
Entwicklung einen Algorithmus in C, Um Temperaturen mit 4. Ordnung im Runge-Kutta verfahren genau zu verfolgen
Numerical Modeling of Inviscid fluid flow over Cylinder
December 1, 2012 – May 1, 2013
Entwicklung einen Algorithmus in MATLAB zur Visualisierung des Flüssigkeitsströmung über 2D-Zylinder
Computational analysis of heat transfer in Ortho- Rhombic block
June 1, 2012 – November 1, 2012
Entwicklung von Spectral – Finite Difference Schema mit Sparse Direct Solver in C für die Wärmeübertragung in 3D Ortho - Rhombic Block
Azure Databricks Platform Architect
Databricks
June 24, 2026 – Present
Microsoft Certified: Azure Solutions Architect Expert
Microsoft
June 24, 2026 – Present
Project Management Professional (PMP)
Project Management Institute
June 24, 2026 – Present
Microsoft Certified: Azure Administrator Associate
Microsoft
June 24, 2026 – Present
AI Engineer - Agentic track
Udemy
June 24, 2026 – Present
Certified Professional for Software Architecture
iSAQB® – International Software Architecture Qualification Board
June 24, 2026 – Present
AUTOSAR Adaptive Basic
VECTOR Informatik
June 24, 2026 – Present
Computer Vision
Udacity
June 24, 2026 – Present
Deep Learning
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily focused on automotive engineering, autonomous systems, and computational mechanics. While these fields involve significant data analysis, the direct alignment with a 'Data Analyst' role, which often implies business intelligence, reporting, and specific data visualization tools, is not explicitly strong. The projects are highly technical and research-oriented, indicating a preference for deep technical problem-solving. The diverse educational background (multiple Masters, including MBA) and certifications suggest a broad interest in technology and business, but the core experience is very specialized. The transition to a Data Analyst role would require demonstrating specific experience with typical data analyst tools and methodologies beyond scientific computing and ML engineering.
Soft Skills & Operational Fit
The candidate's career progression from Algorithm & Machine Learning Engineer to Lead Architect and Technical Program Manager at ZF Group demonstrates strong leadership, project management, and cross-functional team coordination skills. The descriptions highlight systematic tracking of project goals, development of lean product development processes, and technical management of international teams. These indicate a high operational fit for roles requiring both technical depth and strategic oversight. The project descriptions, while technical, are generally clear, suggesting good communication skills in a professional context.